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010   $a3-319-71156-3
024 7 $a10.1007/978-3-319-71156-0
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035   $a(DE-He213)978-3-319-71156-0
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035   $a(PPN)222230754
035   $a(EXLCZ)994100000001381659
100   $a20171229d2018      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aApplied Regression Analysis for Business $eTools, Traps and Applications /$fby Jacek Welc, Pedro J. Rodriguez Esquerdo
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (XI, 286 p. 58 illus. in color.) 
300   $aIncludes index.
311 08$a3-319-71155-5 
327   $aPreface.- Basics of regression models.- Relevance of outlying and influential observations for regression analysis.- Basic procedure for multiple regression model building -- Verification of multiple regression model -- Common adjustments to multiple regressions -- Common pitfalls in regression analysis -- Regression analysis of discrete dependent variables -- Real-life case-study: The quarterly sales revenues of Nokia Corporation -- Real-life case-study: Identifying overvalued and undervalued airlines -- Appendix: Statistical Tables.
330   $aThis book offers hands-on statistical tools for business professionals by focusing on the practical application of a single-equation regression. The authors discuss commonly applied econometric procedures, which are useful in building regression models for economic forecasting and supporting business decisions. A significant part of the book is devoted to traps and pitfalls in implementing regression analysis in real-world scenarios. The book consists of nine chapters, the final two of which are fully devoted to case studies. Today's business environment is characterised by a huge amount of economic data. Making successful business decisions under such data-abundant conditions requires objective analytical tools, which can help to identify and quantify multiple relationships between dozens of economic variables. Single-equation regression analysis, which is discussed in this book, is one such tool. The book offers a valuable guide and is relevant in various areas of economic and business analysis, including marketing, financial and operational management.
606   $aBusiness mathematics
606   $aStatistics
606   $aEconometrics
606   $aBusiness Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/523000
606   $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010
606   $aEconometrics$3https://scigraph.springernature.com/ontologies/product-market-codes/W29010
615  0$aBusiness mathematics.
615  0$aStatistics.
615  0$aEconometrics.
615 14$aBusiness Mathematics.
615 24$aStatistics for Business, Management, Economics, Finance, Insurance.
615 24$aEconometrics.
676   $a330.0151
700   $aWelc$b Jacek$4aut$4http://id.loc.gov/vocabulary/relators/aut$0984146
702   $aEsquerdo$b Pedro J. Rodriguez$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910298182503321
996   $aApplied Regression Analysis for Business$92546067
997   $aUNINA